西南石油大学学报(自然科学版) ›› 2012, Vol. 34 ›› Issue (1): 83-89.

• 地质勘探 • 上一篇    下一篇

曲线重构反演在储层横向预测中的应用

熊冉1,高亮2,杨姣1,赵继龙1   

  1. 1. 中国石油杭州地质研究院,浙江杭州310023;2. 中国石油新疆油田公司勘探开发研究院,新疆克拉玛依834000
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2012-02-01 发布日期:2012-02-01

Application of Curve Recomposition Inversion in LateralReservoir Prediction

Xiong Ran1, Gao Liang2, Yang Jiao1, Zhao Jilong1   

  1. 1. Hangzhou Branch,Geological Research Institute,CNPC,Hangzhou,Zhejiang 310023,China2. Exploration and Development Research Institute,Xinjiang Oilfiled Company,CNPC,Karamay,Xinjiang 834000,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-02-01 Published:2012-02-01

摘要: 声波曲线是目前进行基于测井约束的波阻抗反演工作所必备的基础资料,然而在实际工作中得到的声波资料
经常不能很好地反映地下岩性的变化规律,因此有时需要参考其他测井信息进行曲线重构工作。本文在对测井曲线
重构方法进行深入研究的基础上,提出一种能真正反映储层特征的多曲线声波重构技术。这种方法由于是在保持声
波曲线特性的基础上,利用自然伽马、自然电位、补偿中子及电阻率曲线(经过标准化和归一化校正)参与重构,故既能
保持声波曲线的时深关系和所有频率信息不变,又能充分利用参与重构曲线的特征信息。通过对D 区实际例子进行
波阻抗反演和储层预测的应用,取得了良好的效果,表明该方法是一种简单、实用、有效的曲线重构技术。

关键词: 曲线重构, 相关性分析, 信息融合, 储层预测, 波阻抗反演, 测井约束

Abstract: Acoustic curves are the basic data essential for the wave-impedance inversion based on the logging restraint. But
the acoustic data obtained from practical work usually cannot well reflect the changing rules of subsurface lithology based on
the logging curve reconstructive method. The paper presents a multi-curve sonic reconstructive technique that can truly reflect
the character of reservoir. The method can both keep the time-depth relation of sonic curve and all frequency information
to be unchanged,and also fully use the characteristic information of reconstructive curve participated since the method uses
natural gamma,natural potential,compensated neutron and resistivity curves(after normalization correction)to participate in
reconstruction while keeping the property of sonic curve. The method achieved good results after carrying out wave impedance
inversion and prediction of reservoir in the case of D region,which showed that the method is simple,practical and effective
curve reconstructive technique.

Key words: curve recomposition, relativity analysis, information integration, reservoirs prediction, wave impedance inversion, logging restraint

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